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AI support in self‐regulated learning: A decade of technological evolution and meta‐analysis
- Truvace record
- TRV-2026-2816raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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- 47460f604967…check it
Abstract This meta‐analysis systematically examines 35 empirical studies (2013–2025) investigating artificial intelligence applications within Zimmerman's cyclical model of self‐regulated learning (SRL). Three principal discoveries emerge: (1) Technological progression has evolved through three co‐existing paradigms: rule‐based architectures, data‐driven adaptive systems and generative AI ecosystems, that demonstrate increasingly sophisticated capabilities for human‐AI collaboration. (2) While AI‐supported SRL i…
62Gain side
How the two sides scoreClose call
62Problem side
The gain
A meta-analysis of 35 studies (2013–2025) found AI-supported self-regulated learning produced a moderate overall effect (g = 0.507), with generative AI strongest (g = 0.938 in the task performance phase).
The problem
A meta-analysis of 35 studies on AI-supported self-regulated learning suggests AI's ability to scaffold immediate task performance may outpace its ability to build durable, transferable self-regulatory skills.
A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.
What the scores mean
G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.
P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.
What this doesn’t fix
The authors report high heterogeneity, suggesting the effects of generative AI are heavily contingent on specific instructional designs.
Sources
1 on file- British Journal of Educational Technologydoi:10.1111/bjet.70058
Cite this record
v1Truvace Impact Record TRV-2026-2816, v1: “AI support in self‐regulated learning: A decade of technological evolution and meta‐analysis.” Truvace, 2026-11-12. /record/TRV-2026-2816 (accessed on the day you copy it). sha256 47460f604967facd…
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